Construction of Behavioral Audit Tool Based on Power Data Platform
At present,the power data center only focuses on the safe use of data and has enabled database related audit functions.However,there is still a lack of effective technical means to automatically monitor the risk behavior of the application layer and data users.In order to improve data security capabilities,this article proposes to build a data center behavior audit tool to effectively ensure the standardization and security of power system data.Being able to analyze abnormal data access behavior and control data security risks in the power system through intelligent means,automatically identify abnormal data access,abnormal user behavior,and potential data security risks,assist in data security protection work,prevent data security incidents caused by abnormal data operations or internal leaks in the power system,and achieve data security risks that can be detected,controlled,and warned.Analyze and profile the data usage behavior of power system actors,identify user operation behavior,and audit user behavior.Realize dynamic monitoring of power data flow and identify the source of data security risks.Through real-time monitoring,traceability verification,situational awareness,precise positioning,and rapid response of power data security risks,we comprehensively improve the technical management level of power data security events before,during,and after.
audit of data center behaviordata security of power systemuser behavior analysislog monitoring analysissensitive data management